---
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_trainer
model-index:
- name: sv1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# sv1

This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0499
- F1 macro: 0.3977
- Weighted: 0.6145
- Balanced accuracy: 0.5186

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 14

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
| 1.2727        | 1.0   | 154  | 1.2213          | 0.3786   | 0.5827   | 0.4776            |
| 0.8729        | 2.0   | 308  | 1.4909          | 0.3204   | 0.5293   | 0.4454            |
| 0.3299        | 3.0   | 462  | 1.6163          | 0.3885   | 0.5956   | 0.5035            |
| 0.2233        | 4.0   | 616  | 1.9917          | 0.3709   | 0.5977   | 0.4661            |
| 0.1323        | 5.0   | 770  | 2.5400          | 0.3797   | 0.5718   | 0.4903            |
| 0.0014        | 6.0   | 924  | 3.0973          | 0.3555   | 0.5244   | 0.5040            |
| 0.0012        | 7.0   | 1078 | 2.8258          | 0.3961   | 0.6119   | 0.5142            |
| 0.0013        | 8.0   | 1232 | 2.8277          | 0.3864   | 0.6097   | 0.5067            |
| 0.0006        | 9.0   | 1386 | 2.9388          | 0.3911   | 0.6087   | 0.5121            |
| 0.0006        | 10.0  | 1540 | 2.9096          | 0.4015   | 0.6235   | 0.5205            |
| 0.0004        | 11.0  | 1694 | 3.2002          | 0.3856   | 0.5798   | 0.5138            |
| 0.0005        | 12.0  | 1848 | 3.1226          | 0.3945   | 0.6052   | 0.5185            |
| 0.0004        | 13.0  | 2002 | 3.0566          | 0.3968   | 0.6123   | 0.5181            |
| 0.0004        | 14.0  | 2156 | 3.0499          | 0.3977   | 0.6145   | 0.5186            |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1